iPhone 6s Plus
Geekbench ML Score
279
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 13 2026 12:53 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPhone 6s Plus |
| Model ID | iPhone8,2 |
| Motherboard | N66AP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.85 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
192
20.6 IPS |
|
|
Image Classification (I8)
|
81% |
305
32.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
339
2.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
342
2.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
520
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
110
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
282
9.88 IPS |
|
|
Object Detection (F16)
|
100% |
303
10.6 IPS |
|
|
Object Detection (I8)
|
52% |
391
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
375
4.31 IPS |
|
|
Face Detection (F16)
|
100% |
339
3.90 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
385
152.4 IPS |
|
|
Text Classification (F16)
|
100% |
435
172.0 IPS |
|
|
Machine Translation (F32)
|
100% |
382
58.9 IPS |
|
|
Machine Translation (F16)
|
100% |
392
60.4 IPS |
